An improved speckle reduction algorithm of SAR images
Xiao Wang · Journal of Hefei University of Technology · 2005
The traditional TDRGMAP algorithm for speckle reduction of synthetic aperture radar(SAR) images has a bad detectability and lower localization precision for typical tactic targets with wide area and stronger reflectivity. In this paper, an improved algorithm, which has combined the constant false alarm rate(CFAR) with the biparameter constant false alarm rate(B-CFAR), is proposed. Moreover,the adaptive window is integrated into the new algorithm to detect edges and lines. The processing results of real airborne SAR images show that the proposed method attains better effect.